--- title: dashboards keywords: fastai sidebar: home_sidebar summary: "Supplies dashboards to investigate datasets and training results. Dashboards are defined as classes, to show the dashboard use the .show() function on an dashboard instance." description: "Supplies dashboards to investigate datasets and training results. Dashboards are defined as classes, to show the dashboard use the .show() function on an dashboard instance." nb_path: "nbs/dashboards.ipynb" ---
import icedata
test_data_dir = icedata.fridge.load_data()
test_class_map = icedata.fridge.class_map()
test_parser = icedata.fridge.parser(test_data_dir, test_class_map)
test_train_records, test_valid_records = test_parser.parse()
test_valid_record_dataset = BboxRecordDataset(test_valid_records, test_class_map)
test_train_record_dataset = BboxRecordDataset(test_train_records, test_class_map)
test_record_dataset_no_class_map = BboxRecordDataset(test_train_records)
IcevisionGallery(test_valid_record_dataset, height=500).show()
test_object_detection_overview = ObjectDetectionDatasetOverview(test_valid_record_dataset, width=1500, height=900)
test_object_detection_overview.show()
test_object_detection_comparison = ObjectDetectionDatasetComparison([test_valid_record_dataset, test_train_record_dataset], width=1700, height=700)
test_object_detection_comparison.show()
test_dataset_generator = ObjectDetectionDatasetGenerator(test_train_record_dataset, height=1000, width=1500)
test_dataset_generator.show()